aramdov Goto Github PK
Type: User
Bio: /n Interests: Machine Learning, Computing Systems, Neuroscience, Philosophy, VR/AR, OpenAI
Location: California
Type: User
Bio: /n Interests: Machine Learning, Computing Systems, Neuroscience, Philosophy, VR/AR, OpenAI
Location: California
House Prices: Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting. My code on it.
This is my simple todo app for the codepath android application.
DS Principles Notes / Ref material (R & SQL)
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Code from the challenges I have completed on Hackerrank, Leetcode and other challenge websites.
Notes from my Intro to c++ class for reference
A GitHub archive and aggregator of top content, posts and guides form Leetcode forums and users
In PSTAT 126, we use R-Studio to analyze and interpret datasets. Here, see my code and its output on some very interesting problems, plus some pure statistical maths.
Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"
2 Analysis tasks using Machine Learning methods related to social good and impact.
Task and example code for the Malmo Collaborative AI Challenge
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
Helper functions and other nice problem solvers for multivariate calculus
Coding challenge to make a model that helps identify relevant projects for a contractor from a database of a city's construction projects, primarily working with paragraph of text incorporating NLP models.
Practice and open problem sets from OS
My website and portfolio
Econometrics project assignment on predicting income based on characteristics from Bureau of Labor Statistics CPS Data. Fitting/training a Linear model.
Sample code from recent contract to build a predictive model for a local business in the logistics industry.
Deep Learning Certification Course with Freecodecamp & JovianML, emphasis on PyTorch
Twitter mockup for Codepath
AI-Powered Calendar App for CodePath Optional Group Project
Notes from Datacamp course called Statistical Thinking in Python,
An interactive guide to the game theory of cooperation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.